Metode Umpan Balikuntuk Meningkatkan Hasil Belajar Siswa pada Mata Pelajaran Pendidikan Agama Islam ( PAI) di Kelas III SD Negeri 45 Pulau Karam Kecamatan Koto Xi Tarusan
Bibliographic record
Abstract
Hasil belajar siswa pada mata pelajaran Pendidikan Agama Islam ( PAI) di SD Negeri 45 Pulau Karam Kecamatan Koto XI Tarusanmasih rendah. Hal tersebut disebabkan metode pembelajaran yang selama ini diterapkan kurang efektif untuk meningkatkan hasil belajar siswa.Salah satu metode pembelajaran yang dapat digunakan dalam pembelajaran PAI adalah umpan balik. Tujuan penelitian ini untuk mendapatkan gambaran tentang penerapan metode umpan balik pada pembelajaran PAI di kelas III SD Negeri 45 Pulau Karam Kecamatan Koto XI Tarusan.Penelitian ini menggunakan metode penelitian tindakan kelas yang ditempuh dalam dua siklus.Subjek penelitian adalah siswa SD Negeri 45 Pulau Karam Kecamatan Koto XI Tarusanyang terdiri dari 22 siswa.Hasil penelitian memperlihatkan bahwa melalui Metodeumpan balik, kemampuan siswa dalam menyampaikan materi di depan kelas dan belajar mandiri di rumah dapat ditingkatkan. Selain itu siswa menjadi lebih berani mengemukakan pendapat dan dapat menerapkan Pendidikan Agama Islam ( PAI )dalam kehidupan bermasyarakat.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.004 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".